Performance Evaluation of Cognitive Radio Network Based on 2-D Markov Chain

Authors

DOI:

https://doi.org/10.26636/jtit.2015.3.966

Keywords:

cognitive radio networks, misdetection, probability of false alarm, throughput and traffic of limited channel

Abstract

The objective of cognitive radio network is to enhance the wireless network spectrum utilization. In such a network, two types of users are enlisted, namely primary user (PU) and secondary user (SU). The PU can access any channel in case of its availability, but SU users have lower priority and can access a channel only when it is unused by PUs. The performance of such a network solely depends on two traffic parameters: probability of false alarm and probability of misdetection. In this paper the performance of such a network is analyzed based on two dimensional Markov chain including those parameters. The main contribution of this paper is to evaluate blocking probability and PU and SU throughput using the state transition chain instead of existing statistical analysis.

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Submitted

2023-06-26

Published

2015-09-30

Issue

No. 3 (2015)

Section

RESEARCH ARTICLES

License

Copyright (c) 2015 Journal of Telecommunications and Information Technology

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. I. Islam, M. F. Rabbi, R. T. Khan, and J. Akhter, “Performance Evaluation of Cognitive Radio Network Based on 2-D Markov Chain”, JTIT, vol. 61, no. 3, pp. 39–44, Sep. 2015, doi: 10.26636/jtit.2015.3.966.